The association of dietary animal and plant protein with putative risk markers of colorectal cancer in overweight pre-diabetic individuals during a weight-reducing programme: a PREVIEW sub-study (original) (raw)

• Due A, Toubro S, Skov AR, Astrup A (2004) Effect of normal-fat diets, either medium or high in protein, on body weight in overweight subjects: a randomised 1-year trial. Int J Obes 28:1283–1290. https://doi.org/10.1038/sj.ijo.0802767
  Article CAS Google Scholar
• Larsen TM, Dalskov S-M, van Baak M et al (2010) Diets with high or low protein content and glycemic index for weight-loss maintenance. N Engl J Med 363:2102–2113. https://doi.org/10.1056/NEJMoa1007137
  Article CAS PubMed PubMed Central Google Scholar
• Windey K, de Preter V, Verbeke K (2012) Relevance of protein fermentation to gut health. Mol Nutr Food Res 56:184–196. https://doi.org/10.1002/mnfr.201100542
  Article CAS PubMed Google Scholar
• Corpet D, Yin Y, Zhang X et al (1995) Colonic protein fermentation and promotion of colon carcinogenesis by thermolyzed casein. Nutr Cancer 23:271–281
  Article CAS Google Scholar
• Yao CK, Muir JG, Gibson PR (2016) Review article: insights into colonic protein fermentation, its modulation and potential health implications. Aliment Pharmacol Ther 43:181–196. https://doi.org/10.1111/apt.13456
  Article CAS PubMed Google Scholar
• Brahe LK, Astrup A, Larsen LH (2013) Is butyrate the link between diet, intestinal microbiota and obesity-related metabolic diseases? Obes Rev 14:950–959. https://doi.org/10.1111/obr.12068
  Article CAS PubMed Google Scholar
• World Cancer Research Fund International/American Institute for Cancer Research. Continous Update Project Report: Diet, Nutrition, Physical Activity and Colorectal Cancer. 2017. Available at: www.wcrf.org/colorectal-cancer-2017
• Russell WR, Gratz SW, Duncan SH et al (2011) High-protein, reduced-carbohydrate weight-loss diets promote metabolite profiles likely to be detrimental to colonic health. Am J Clin Nutr 93:1062–1072. https://doi.org/10.3945/ajcn.110.002188
  Article CAS PubMed Google Scholar
• Nowak A, Libudzisz Z (2006) Influence of phenol, p-cresol and indole on growth and survival of intestinal lactic acid bacteria. Anaerobe 12:80–84. https://doi.org/10.1016/j.anaerobe.2005.10.003
  Article CAS PubMed Google Scholar
• Russell WR, Scobbie L, Chesson A et al (2008) Anti-inflammatory implications of the microbial transformation of dietary phenolic compounds. Nutr Cancer 60:636–642. https://doi.org/10.1080/01635580801987498
  Article CAS PubMed Google Scholar
• Singleton V, Orthofer R, Lamuela-Raventós R (1999) Analysis of total phenols and other oxidation substrates and antioxidants by means of folin-ciocalteu reagent. Methods Enzymol 299:152–178
  Article CAS Google Scholar
• Berryman CE, Agarwal S, Lieberman HR et al (2016) Diets higher in animal and plant protein are associated with lower adiposity and do not impair kidney function in US adults. Am J Clin Nutr 104:743–749. https://doi.org/10.3945/ajcn.116.133819
  Article CAS PubMed Google Scholar
• Larsson SC, Orsini N (2014) Red meat and processed meat consumption and all-cause mortality: a meta-analysis. Am J Epidemiol 179:282–289. https://doi.org/10.1093/aje/kwt261
  Article PubMed Google Scholar
• Chan DSM, Lau R, Aune D et al (2011) Red and processed meat and colorectal cancer incidence: meta-analysis of prospective studies. PLoS One 6:e20456. https://doi.org/10.1371/journal.pone.0020456
  Article CAS PubMed PubMed Central Google Scholar
• Aune D, Chan DSM, Vieira AR et al (2013) Red and processed meat intake and risk of colorectal adenomas: a systematic review and meta-analysis of epidemiological studies. Cancer Causes Control 24:611–627. https://doi.org/10.1007/s10552-012-0139-z
  Article PubMed Google Scholar
• Alexander DD, Weed DL, Cushing CA, Lowe KA (2011) Meta-analysis of prospective studies of red meat consumption and colorectal cancer. Eur J Cancer Prev 20:293–307. https://doi.org/10.1097/CEJ.0b013e328345f985
  Article CAS PubMed Google Scholar
• Larsson SC, Wolk A (2006) Meat consumption and risk of colorectal cancer: a meta-analysis of prospective studies. Int J Cancer 119:2657–2664. https://doi.org/10.1002/ijc.22170
  Article CAS PubMed Google Scholar
• Pan A, Sun Q, Bernstein AM et al (2012) Red meat consumption and mortality: results from 2 prospective cohort studies. Arch Intern Med 172:555–563. https://doi.org/10.1001/archinternmed.2011.2287
  Article PubMed PubMed Central Google Scholar
• Kaluza J, Wolk A, Larsson SC (2012) Red meat consumption and risk of stroke: a meta-analysis of prospective studies. Stroke 43:2556–2560. https://doi.org/10.1161/STROKEAHA.112.663286
  Article CAS PubMed Google Scholar
• Micha R, Michas G, Mozaffarian D (2012) Unprocessed red and processed meats and risk of coronary artery disease and type 2 diabetes—an updated review of the evidence. Curr Atheroscler Rep 14:515–524. https://doi.org/10.1007/s11883-012-0282-8
  Article CAS PubMed PubMed Central Google Scholar
• Shang X, Scott D, Hodge AM et al (2016) Dietary protein intake and risk of type 2 diabetes: results from the Melbourne Collaborative Cohort Study and a meta-analysis of prospective studies. Am J Clin Nutr AJCN. https://doi.org/10.3945/ajcn.116.140954
  Article Google Scholar
• Nothlings U, Schulze MB, Weikert C et al (2008) Intake of vegetables, legumes, and fruit, and risk for all-cause, cardiovascular, and cancer mortality in a European diabetic population. J Nutr 138:775–781
  Article Google Scholar
• Hermsdorff HHM, Zulet MÁ, Abete I, Martínez JA (2011) A legume-based hypocaloric diet reduces proinflammatory status and improves metabolic features in overweight/obese subjects. Eur J Nutr 50:61–69. https://doi.org/10.1007/s00394-010-0115-x
  Article CAS PubMed Google Scholar
• Shi Y, Yu P-W, Zeng D-Z (2015) Dose–response meta-analysis of poultry intake and colorectal cancer incidence and mortality. Eur J Nutr 54:243–250. https://doi.org/10.1007/s00394-014-0705-0
  Article CAS PubMed Google Scholar
• Wu S, Feng B, Li K et al (2012) Fish consumption and colorectal cancer risk in humans: a systematic review and meta-analysis. Am J Med 125:551–559. https://doi.org/10.1016/j.amjmed.2012.01.022
  Article PubMed Google Scholar
• Ralston RA, Truby H, Palermo CE, Walker KZ (2014) Colorectal cancer and nonfermented milk, solid cheese, and fermented milk consumption: a systematic review and meta-analysis of prospective studies. Crit Rev Food Sci Nutr 54:1167–1179. https://doi.org/10.1080/10408398.2011.629353
  Article CAS PubMed Google Scholar
• Chen M, Sun Q, Giovannucci E et al (2014) Dairy consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. BMC Med 12:215. https://doi.org/10.1186/s12916-014-0215-1
  Article PubMed PubMed Central Google Scholar
• Pala V, Sieri S, Berrino F et al (2011) Yogurt consumption and risk of colorectal cancer in the Italian European prospective investigation into cancer and nutrition cohort. Int J Cancer 129:2712–2719. https://doi.org/10.1002/ijc.26193
  Article CAS PubMed Google Scholar
• Duncan SH, Belenguer A, Holtrop G et al (2007) Reduced dietary intake of carbohydrates by obese subjects results in decreased concentrations of butyrate and butyrate-producing bacteria in feces. Appl Environ Microbiol 73:1073–1078. https://doi.org/10.1128/AEM.02340-06
  Article CAS PubMed Google Scholar
• Brinkworth GD, Noakes M, Clifton PM, Bird AR (2009) Comparative effects of very low-carbohydrate, high-fat and high-carbohydrate, low-fat weight-loss diets on bowel habit and faecal short-chain fatty acids and bacterial populations. Br J Nutr 101:1493. https://doi.org/10.1017/S0007114508094658
  Article CAS PubMed Google Scholar
• Fogelholm M, Larsen T, Westerterp-Plantenga M et al (2017) PREVIEW: prevention of diabetes through lifestyle intervention and population studies in europe and around the world. Design, methods, and baseline participant description of an adult cohort enrolled into a three-year randomised clinical trial. Nutrients 9:632. https://doi.org/10.3390/nu9060632
  Article CAS PubMed Central Google Scholar
• Souba WW, Wilmore DW (1968) Diet and Nutrition in the care of the patient with Surgery, Trauma and Sepsis. In: Shills ME, Olson JA, Shike M, Ross AC (eds) Modern nutrition in health and disease, 8th edn. Lippincott Williams & Wilkins, Baltimore, pp 1207–1240
  Google Scholar
• Han J, Lin K, Sequeira C, Borchers CH (2015) An isotope-labeled chemical derivatization method for the quantitation of short-chain fatty acids in human feces by liquid chromatography–tandem mass spectrometry. Anal Chim Acta 854:86–94. https://doi.org/10.1016/j.aca.2014.11.015
  Article CAS PubMed Google Scholar
• Ainsworth EA, Gillespie KM (2007) Estimation of total phenolic content and other oxidation substrates in plant tissues using Folin–Ciocalteu reagent. Nat Protoc 2:875–877. https://doi.org/10.1038/nprot.2007.102
  Article CAS PubMed Google Scholar
• Wallace TM, Levy JC, Matthews DR (2004) Use and abuse of HOMA modeling. [Review] [42 refs]. Diabetes Care 27:1487–2004. https://doi.org/10.2337/diacare.27.6.1487
  Article PubMed Google Scholar
• Azur MJ, Stuart EA, Frangakis C, Leaf PJ (2011) Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res 20:40–49. https://doi.org/10.1002/mpr.329
  Article PubMed PubMed Central Google Scholar
• R Development Core Team (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/. R Found. Stat. Comput. Vienna, Austria
• van Buuren S, Groothuis-Oudshoorn K (2011) Mice: multivariate Imputation by Chained Equations in R. J Stat Softw 45:1–67. https://doi.org/10.18637/jss.v045.i03
  Article Google Scholar
• Cummings JH, Hill MJ, Bone ES et al (1979) The effect of meat protein and dietary fiber on colonic function and metabolism. II. Bacterial metabolites in feces and urine. Am J Clin Nutr 32:2094–2101. https://doi.org/10.1093/ajcn/32.10.2094
  Article CAS PubMed Google Scholar
• Bingham SA, Pignatelli B, Pollock JRA et al (1996) Does increased endogenous formation of N-nitroso compounds in the human colon explain the association between red meat and colon cancer? Carcinogenesis 17:515–523
  Article CAS Google Scholar
• World Cancer Research Fund/American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. Washington DC: AICR, 2007
• Alexander DD, Weed DL, Miller PE, Mohamed MA (2015) Red meat and colorectal cancer: a quantitative update on the state of the epidemiologic science. J Am Coll Nutr 34:521–543. https://doi.org/10.1080/07315724.2014.992553
  Article PubMed PubMed Central Google Scholar
• Verbeke KA, Boobis AR, Chiodini A et al (2015) Towards microbial fermentation metabolites as markers for health benefits of prebiotics. Nutr Res Rev 28:42–66. https://doi.org/10.1017/S0954422415000037
  Article CAS PubMed PubMed Central Google Scholar
• Eckburg PB, Bik EM, Bernstein CN et al (2005) Diversity of the human intestinal microbial flora. Science 308:1635–1638. https://doi.org/10.1126/science.1110591
  Article PubMed PubMed Central Google Scholar
• Durbán A, Abellán JJ, Jiménez-Hernández N et al (2012) Daily follow-up of bacterial communities in the human gut reveals stable composition and host-specific patterns of interaction. FEMS Microbiol Ecol 81:427–437. https://doi.org/10.1111/j.1574-6941.2012.01368.x
  Article CAS PubMed Google Scholar
• Goris AH, Meijer EP, Westerterp KR (2001) Repeated measurement of habitual food intake increases under-reporting and induces selective under-reporting. Br J Nutr 85:629–634
  Article CAS Google Scholar
• Livingstone MBE, Black AE (2003) Markers of the validity of reported energy intake. J Nutr 133:895S–920S. https://doi.org/10.1091/mbc.E05
  Article CAS PubMed Google Scholar
• Mattisson I, Wirfält E, Aronsson CA et al (2005) Misreporting of energy: prevalence, characteristics of misreporters and influence on observed risk estimates in the Malmö Diet and Cancer cohort. Br J Nutr 94:832–842
  Article CAS Google Scholar
• Nordic Council of Ministers Nordic Nutrition Recommendations (2012) Integrating nutrition and physical activity. Nord Nutr Recomm. https://doi.org/10.6027/nord2014-002
  Article Google Scholar